Frequency Electronics (FEIM) Cost of Revenue (2010 - 2026)
Frequency Electronics' Cost of Revenue came in at $12.7 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 45.5% from $8.73 million a year earlier but down 16.7% from the prior quarter.
Frequency Electronics (FEIM) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Frequency Electronics reported Cost of Revenue of $48.8 million, up 21.8% year-over-year; for FY2026 (ended Apr 30, 2026), it was $44.83 million, up 12.9% from FY2025.
- Cost of Revenue has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $39.71 million in FY2025 (+8.2%), $36.69 million in FY2024 (+11.4%), $32.93 million in FY2023 (-17.1%) and $39.7 million in FY2022 (+6.3%).
- The five-year range for quarterly Cost of Revenue is $7.16 million (fiscal Q3 2023) to $15.25 million (fiscal Q4 2026).
- Year-over-year, Cost of Revenue increased in six of the last eight quarters, with growth averaging 15.1%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q3 2024 (growth of 48.3%), and the weakest in fiscal Q4 2023 (a decline of 30.8%).
- Business Quant data shows FEIM's Cost of Revenue at $15.25 million (Q4 2026), $10.26 million (Q3 2026) and $10.59 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Frequency Electronics | 942.97 Mn | 876.89 Mn | 10.75 Mn | 12.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 12.70 Mn |
| Apr 30, 2026 | 15.25 Mn |
| Jan 31, 2026 | 10.26 Mn |
| Oct 31, 2025 | 10.59 Mn |
| Jul 31, 2025 | 8.73 Mn |
| Apr 30, 2025 | 12.49 Mn |
| Jan 31, 2025 | 10.64 Mn |
| Oct 31, 2024 | 8.20 Mn |
| Jul 31, 2024 | 8.38 Mn |
| Apr 30, 2024 | 9.30 Mn |
| Jan 31, 2024 | 10.61 Mn |
| Oct 31, 2023 | 9.25 Mn |
| Jul 31, 2023 | 7.54 Mn |
| Apr 30, 2023 | 8.97 Mn |
| Jan 31, 2023 | 7.16 Mn |
| Oct 31, 2022 | 8.60 Mn |
| Jul 31, 2022 | 8.21 Mn |
| Apr 30, 2022 | 12.95 Mn |
| Jan 31, 2022 | 9.01 Mn |
| Oct 31, 2021 | 8.85 Mn |
Frequency Electronics Cost of Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=FEIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "FEIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=FEIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();